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https://www.sciencedirect.com/science/article/pii/S0377221717310810
This research studies a support vector machine (SVM)-based ensemble learning algorithm for breast cancer diagnosis. Illness diagnosis plays a critical role in designating treatment strategies, which are highly related to patient safety.Cited by: 51
https://www.csie.ntu.edu.tw/~htlin/paper/doc/ecml05stump.pdf
Infinite Ensemble Learning with Support Vector Machines 245 2.3 Connecting SVM to Ensemble Learning SVM and AdaBoost are related. Consider the feature transform Φ(x) = (h 1(x),h 2(x),...). (2) We can clearly see that the problem (P 1) with this feature transform is similar to (P 3). The elements of φ x in SVM and the hypotheses h t(x) in AdaBoost
https://www.ncbi.nlm.nih.gov/pubmed/29378218
May 15, 2018 · NEW METHOD: We proposed to use an ensemble of support vector machines (SVMs) that combined bagging without replacement and feature selection. SVM is the most commonly used algorithm in multivariate classification of dementia, and it was therefore valuable to evaluate the potential benefit of ensembling this type of classifier.Cited by: 9
https://www.researchgate.net/publication/220785878_Support_Vector_Machine_Ensemble_with_Bagging
Transductive inference estimates classification function at samples within the test data using information from both the training and the test data set. In this paper, a new algorithm of transductive support vector machine is proposed to improve Joachims’ transductive SVM …
http://pubs.sciepub.com/jmsa/2/2/1/index.html
An ensemble consists of a set of individually trained classifiers (such as Support Vector Machine and Classification Tree) whose predictions are combined by an algorithm. Ensemble methods is expected to improve the predictive performance of classifier.
https://machinelearningmastery.com/support-vector-machines-for-machine-learning/
Support Vector Machines are a huge area of study. There are numerous books and papers on the topic. This section lists some of the seminal and most useful results if you are looking to dive deeper into the background and theory of the technique.
https://medium.com/@george.drakos62/support-vector-machine-vs-logistic-regression-94cc2975433f
Aug 12, 2018 · Support Vector Machine (SVM) is an algorithm used for classification problems similar to Logistic Regression (LR). LR and SVM with linear Kernel generally perform comparably in practice.
https://en.wikipedia.org/wiki/Support_vector_machine
In machine learning, support-vector machines ( SVMs, also support-vector networks) are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis. Given a set of training examples, each marked as belonging to one or the other of two categories,...
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